Alternatives and similar repositories for FOST

Users that are interested in FOST are comparing it to the libraries listed below

• husnejahan / DeepAR-pytorch
  ☆267Updated 4 years ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆282Updated 6 months ago
• DAMO-DI-ML / ICML2022-FEDformer
  Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
  ☆212Updated 3 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆205Updated 2 years ago
• PaddlePaddle / PaddleTS
  Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analys…
  ☆537Updated 3 months ago
• PaddlePaddle / PaddleSpatial
  PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
  ☆361Updated 11 months ago
• microsoft / ProbTS
  ProbTS is a benchmarking toolkit for time series forecasting.
  ☆186Updated 2 months ago
• jingw2 / demand_forecast
  ☆470Updated 2 years ago
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆428Updated 3 months ago
• PlaytikaOSS / tft-torch
  A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
  ☆141Updated last year
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆310Updated 4 years ago
• DHI / tsod
  Anomaly Detection for time series data
  ☆179Updated 2 months ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆232Updated 5 years ago
• allen-chiang / Time-Series-Transformer
  A data preprocessing package for time series data. Design for machine learning and deep learning.
  ☆215Updated 4 years ago
• cchallu / nbeatsx
  ☆205Updated 3 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• VachelHU / EvoNet
  Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021
  ☆91Updated 4 years ago
• DAMO-DI-ML / AI-for-Time-Series-Papers-Tutorials-Surveys
  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
  ☆165Updated 3 years ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆364Updated 5 months ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• ant-research / Pyraformer
  ☆292Updated 3 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• ariaghora / robust-period
  Unofficial Implementation of RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection
  ☆96Updated 2 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆543Updated last year
• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆71Updated 4 years ago
• kashif / pytorch-transformer-ts
  Repository of Transformer based PyTorch Time Series Models
  ☆312Updated 11 months ago
• LongxingTan / Data-competitions
  My Data Competition Solutions
  ☆103Updated 2 years ago
• plumprc / MTS-Mixers
  MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
  ☆229Updated 3 months ago